The representative samples set is taken as the initial set of Tabu algorithm to further maintain. The method only considers the samples at different classes borders when samples are insert into new training set. The principles of deleting or inserting a sample are the higher categorization accuracy principle and the higher similarity with training set principle.

This paper proposed a scheduling approach of Tabu algorithm to minimize makespan problem in hybrid Flowshop(HFS), in which an improved RA heuristic algorithm is used to get a sequence of jobs in the first stage and Tabu search theory to optimize it, the first available machine(FAM) rule and minimizing remain processing time dispatching rule(MRPT) are used for allocating devices and dispatching jobs in the other stages respectively.

Then by using Tabu algorithm and graph theory, a heuristic algorithm about RWA is proposed. Through modifying the heuristic algorithm, some network characteristics and survivability designment in star-based optical networks under different configuration of links and nodes are researched.

This paper proposed a scheduling approach of Tabu algorithm to minimize makespan problem in hybrid Flowshop(HFS), in which an improved RA heuristic algorithm is used to get a sequence of jobs in the first stage and Tabu search theory to optimize it, the first available machine(FAM) rule and minimizing remain processing time dispatching rule(MRPT) are used for allocating devices and dispatching jobs in the other stages respectively.

Empirical evidence shows that the Tabu algorithm is very competitive by giving the best solutions to the tested instances.

A "Logic-Constrained" Knapsack Formulation and a Tabu Algorithm for the Daily Photograph Scheduling of an Earth Observation Sate

Methods to reduce execution time of the genetic algorithm, including the use of a Tabu algorithm for training data selection, are also discussed.

Before optimizing the rotor slots with genetic algorithm (GA), the second part is solved with TABU algorithm to simplify the problem.

The fact that the tabu algorithm controls its search by modifying mobilities provides several important benefits.

To improve the design level of permanent magnet starting motor, in this paper, the TABU algorithm, a method for global optimization, is applied to the optimization of this kind of motor and the cost of motor material can be is reduced greatly.

为提高永磁起动机的设计水平，本文将全局优化算法ＴＡＢＵ应用于永磁起动机的优化设计，显著降低了有效材料成本。

Due to the special construction of magnetic pole, the permanent magnet starter motor with auxiliary pole has the advantages of high starting torque, high no-load speed, and low cost of magnetic pole, as compared to the ordinary permanent magnet starter motor. The combination of pole-arc coefficients for the main pole and the auxiliary pole affects directly the cost of magnetic pole. The determination of the best combination is a difficult point to be solved. It is an important problem to optimize the cost of...

Due to the special construction of magnetic pole, the permanent magnet starter motor with auxiliary pole has the advantages of high starting torque, high no-load speed, and low cost of magnetic pole, as compared to the ordinary permanent magnet starter motor. The combination of pole-arc coefficients for the main pole and the auxiliary pole affects directly the cost of magnetic pole. The determination of the best combination is a difficult point to be solved. It is an important problem to optimize the cost of magnetic pole to minimum by using the global optimization technic on the premise of satisfying the performance requirements. In this paper, TABU algorithm is successfully applied to the magnetic pole optimization, the validity are testified by the application to the optimization of existing products.

Because of the complexity of electromagnetic relation for the Permanent Magnet Start Motor with Auxiliary Pole(PMSMAP),on one hand,there are no sutiable method to calculate its performances,on the other hand,it is difficult to determine the most suitable combination of the coefficients for the main pole and auxiliary pole,which hinders its application.To overcome these problems,at first,a new method,i. e. method of magnetic reluctance network is put forward and successfully used from the view of CAD in this...

Because of the complexity of electromagnetic relation for the Permanent Magnet Start Motor with Auxiliary Pole(PMSMAP),on one hand,there are no sutiable method to calculate its performances,on the other hand,it is difficult to determine the most suitable combination of the coefficients for the main pole and auxiliary pole,which hinders its application.To overcome these problems,at first,a new method,i. e. method of magnetic reluctance network is put forward and successfully used from the view of CAD in this paper.Secondly,from the view of the inverse problem of electromagnetic field,TABU algorithm,i. e a kind of new global optimization method,is used to the optimzation of magnetic pole.Finally,the above methods are tested by test results an the validity and correctness of the above methods are results an the validity and correctness of the above methods are restified by the comparison of the calculated results with test results.